Weka Sentiment Analysis Example. — A Sentimental Education Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts 2004 The data has been cleaned up somewhat for example The dataset is comprised of only English reviews All text has been converted to lowercase There is white space around punctuation like periods commas and brackets.
(You can use the feature vector with any classifier not just one with support from Weka) Survey paper on automatic emotion and sentiment analysisSentiment Analysis Automatically Detecting Valence Emotions and Other Affectual States from Text Saif M Mohammad arXiv200511882 Jan 2021.
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Text mining Wikipedia
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Weka is a collection of machine learning algorithms for data mining tasks The algorithms can either be applied directly to a dataset or called from your own Java code Weka features include machine learning data mining preprocessing classification regression clustering association rules attribute selection experiments workflow and visualization Weka is written in Java.